A Novel of Suspended Plate Compact Antenna Design for 2.4 GHz Applications
Bibliographic record
Abstract
In wireless communication system, one of the unique challenges is the requirement for smaller and cheaper antenna design that becomes an important aspect in the deployment of wireless enabled products. To meet this challenge, we developed a simple, small, compact, low cost, and practical antenna targeted for 2.4 GHz (ISM Band) application. A detailed investigation on miniaturized microstrip planar new antenna design using a combination of proposed shorted patch and meandering method are presented. All design and simulations were done using Agilent’s Advanced Design System (ADS) Momentum. To ensure the precision, verification has been done, designs were fabricated, and measurements on return loss and impedance bandwidth were performed by using FieldFox RF Analyzer. In realizing the design, a study on the surface current is conducted by simulation in order to maintain the target resonance frequency, 2.45 GHz. The designs have resulted in 86.5% and 95.5% size reduction, in comparison with a conventional rectangular patch antenna which is used as benchmark in this work. The performance of the proposed antenna is proven to be better than other existing miniaturization techniques such as the meandered line antenna (MLA) at the same size. Further improvement on radiation characteristic is also achieved by implementing Suspended Plate Antenna (SPA) approach. From the significant size reduction obtained, the concept used in this work would be suitable for cost centric products requiring small sized wireless module.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".